A Boundary Checking Technique for Testing Real-Time Systems Modeled as Timed Input Output Automata (Short Paper)
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Bibliographic record
Abstract
The behavior of real-time systems depends not only on their interaction with the environment but also on very rigid time constraints that puts restrictions on when these interactions take place. The timing aspect of such systems renders the testing process difficult without defining adequate test selection criteria that ensure good coverage of the system while keeping the number of needed test cases considerably low. In this paper, we propose a method for testing real-time systems, formally modeled as Timed Input Output Automata (TIOA), which aims at generating a set of test cases that would allow us to check every transition of the TIOA as soon as possible, as late as possible, and at the middle between these two executions. The execution times of every transition are determined based on the minimum and maximum delays between the source state of the transition and its clock guards.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it